A component-orientated approach is commonplace in the automotive industry where the development focus lies on components. However, current challenges in the industry necessitates a mindset change in the development. Shifting the perspective from the components to functions can help with changing requirements, manage increasing complexity, support cross-disciplinary development, and foster innovation. To successfully implement this approach, it is essential to address not only the technical aspects of the solution, but also the human and organizational aspects affecting the process for its long-term success.

This paper investigates the function-oriented development methods of complex mechatronic products. A systematic literature review is conducted to analyse the current state of research. The existing function-oriented development approaches are summarized, the technological, human, and organizational perspectives are analysed, and the research gaps are highlighted. It is concluded that while function-orientation gains significance in industry and academia, and the importance of human and organizational factors are highlighted in the literature, they are not yet widely considered within the current function-oriented approaches.

Usage data of reference systems can be analyzed in the development process for the validation of system elements. The process model for data-driven validation of elements in the system of objectives aids developers in performing such data analyses. The conducted studies show that the basis for an efficient analysis process is a common understanding of the system and the goal of the analysis. Therefore, a template was derived over the course of case studies describing the elements in the system of objectives. The template covers the three descriptive dimensions general information, technical system and data. It allows a comprehensive description of analysis use cases. On average it takes 11 minutes for developers to aggregate all necessary information and consequently fill out the template. An A/B-Test confirmed the comprehensibility and applicability of the template even for developers of different domain knowledge. Through its contribution to a sustainable knowledge management the template provides an added value for the developers for conducting analysis.

Basically, the safe dissipation of heat is among others an important protection objective of dual purpose casks. Gas-filled gaps within such casks can play a major role for the thermal behavior as they act as thermal barriers due to the lower heat conductivity of gaseous fluids in comparison to metallic materials. However, additional heat transmission mechanisms, such as natural convection and radiation can also occur in a gaseous medium. This leads to both an expanded modelling and a prolonged computing time in numerical simulations. Within the scope of a research project in cooperation with Swiss Federal Nuclear Safety Inspectorate ENSI a simulation tool for the fast thermal evaluation of dual purpose casks is developed which combines analytical methods and FEA. The innovation is that the thermal effects of gas-filled gaps are considered by using analytical equations. Main focus lies on the implementation of heat radiation as a non-linear transfer mechanism. Therefore, an iterative calculation process is used and the effects of the iteration number is investigated. Furthermore, the influence of radiation in comparison to pure conduction is examined depending on the gap width.

Much of the work in design research focusses on the development of methods and tools to support engineering designers. Many of these tools are nowadays implemented in software. Due to the strongly growing use of computers and smart devices in the last two decades, the expectations of users increased dramatically. In particular users expect good usability, for example little effort for learning to apply the software. Therefore, the usability evaluation of design software tools is crucial. A software tool with bad usability will not be used in industrial practice. Recommendations for usability evaluation of software often stem from the field of Human Computer Interaction. The aim of this paper is to tailor these general approaches to the specific needs of engineering design. In addition, we propose a method to analyse the results of the evaluation and to derive suggestions for improving the design software tool. We apply the usability evaluation method on a use case - the KoMBi software tool for bio-inspired design. The case study provides additional insights with regards to problem, causes and improvement categories.

The research presented in this paper explores features of temporal design neurocognition by comparing regions of activation in the brain during concept generation. A total of 27 engineering graduate students used brainstorming, morphological analysis, and TRIZ to generate concepts to design problems. Students' brain activation in their prefrontal cortex (PFC) was measured using functional near-infrared spectroscopy (fNIRS). Temporal activations were compared between techniques. When using brainstorming and morphological analysis, highly activated regions are consistently situated in the medial and right part of the PFC over time. For both techniques, the temporal neuro-physiological patterns are similar. Cognitive functions associated to the medial and right part of the PFC suggest an association with divergent thinking and adaptative decision making. In contrast, highly activated regions over time when using TRIZ appear in the medial or the left part of the prefrontal cortex, usually associated with goal directed planning.

Throughout time, the definition of sustainability has been interpreted differently and different philosophies have consequently emerged, each with its own vision of a sustainable society. At the same time, manufacturing firms have focused on environmental improvements, but social aspects have often been neglected. This study identifies 11 philosophies and 51 product design strategies contributing to sustainability awareness, cohesion, and equity, set to ensure social sustainability integration at a manufacturing firm level.

Engineering design teams, particularly in academic courses, were no exception to the consequences of the unknown virus and the global pandemic. Forced online teaching has influenced the way of using communication technologies. The information flow architecture of engineering design is also transforming due to the remote activities and the dominancy of web-based technologies. This transformation creates different patterns of distributed cognition within design teams. In the course of full remote teaching, we studied the entire information flow of a small and dispersed engineering team through the early stages of design for one month using the ethnographic method and Distributed Cognition analysis techniques. Our analysis, of the interdisciplinary design team during a rocket engineering project and system engineering teaching, shows the considerable role of different online data sharing and communications technology platforms in distributed cognition and collaborative problem solving within the team. These new trends create new challenges and opportunities, and in order to enhance collaborative design, these emerged out of the box trends require more attention and updating of existing strategies.

Sense of agency is the sense that one is causing an action. The increase in machine or system autonomy leads to an increase in the loss of sense of agency for the operation causing the loss of pleasure in the operation or sense of responsibility for the consequences of operations. Designing a sense of agency is necessary, especially in the context of machine autonomy. This calls for the control of the sense of agency, which requires the construction of a model to predict the sense of agency and establishing a design methodology to manipulate the factors of sense of agency. We propose the mathematical model that predicts the sense of agency in a human-machine system based on the comparator model and free-energy principle and what to design to enhance the sense of agency. Proposed model explains the effects of prediction error, prediction uncertainty, and observation uncertainty for body, machine, and environment feedback on the sense of agency. The model generally reveals the interaction effect between prediction error and prediction uncertainty and between prediction error and observation uncertainty. The model prediction can be widely applied as a design guide for enhancing sense of agency of human-machine interfaces.

Digital transformation has become a mega trend topic for many enterprises globally. For some companies, customer interactions have been digitalized. But many companies still rely on physical interactions of customers with their products in the core value creation processes. Thus the key challenges for digital transformation efforts would be associating product-centered value propositions with digitalized services. In other words, the transformation of product-centered values into experience values co-created by customers with services supporting customers. The research goal of this paper is to identify different strategies for digital transformation in product-service systems (PSS) design so that diverse paths for digital transformation can be considered in designing PSSs. Three types for digital transformation strategies have been identified from PSS design cases conducted in a manufacturing servitization support framework project where PSSs have been designed for 15 manufacturing companies including SMEs and large companies with varying levels of digital technology. A classification for digital transformation strategies could be postulated with three primary dimensions and two supplementary dimensions.

This paper explores the implementation of Industry 4.0 technologies in Small Enterprises (SEs), focusing on the unique challenges they face. It presents four case studies demonstrating how low-cost, low-effort solutions can enhance efficiency and productivity in small companies. The solutions, developed in a local makerspace, address specific manufacturing challenges that lack affordable or existing off-the-shelf solutions. The paper highlights the value of iterative prototyping in implementing Industry 4.0 solutions and discusses how this approach can help SEs overcome adaptation challenges.

This study aims at revising the history of knowledge management in service design organizations to discover what sources, technologies, tools, and users have been used and how knowledge management may thus help to improve consultants’ performance. Also, this study sheds light on the importance of decomposing knowledge (knowledge-leveling being said in this article) before tackling knowledge management. Moreover, this study provides a real case study investigation of knowledge management in a service design organization. Through this investigation, the authors propose their knowledge-leveling classification model and how knowledge management activities satisfy each class. Thus, the authors showcase the essentiality of knowledge leveling in knowledge management.

Global competition in combination with the increasing specialization of labor requires organizations to leverage their employees' competences. The approach presented in this paper empowers organizations to do so in two ways. First, we give employers a lean tool to allocate their employees to current and upcoming projects and make informed decisions whether they should take on new projects. Secondly, we provide the means to identify potential areas for innovation by identifying blind spots of technology transfer. The approach presented relies on semantic web technologies, i.e. an ontology built in OWL and SPARQL queries. To increase usability, we realized a user interface based on a semi-formalized spreadsheet and a python script for the transformation.

The increased availability of affordable virtual reality hardware in the last years boosted research and development of such systems for many fields of application. While extended reality systems are well established for visualization of product data, immersive authoring tools that can create and modify that data are yet to see widespread productive use. Making use of building blocks, we see the possibility that such tools allow quick expression of spatial concepts, even for non-expert users. Optical hand-tracking technology allows the implementation of this immersive modeling using natural user interfaces. Here the users manipulated the virtual objects with their bare hands. In this work, we present a systematic collection of natural interactions suited for immersive building-block-based modeling systems. The interactions are conceptually described and categorized by the task they fulfil.

Taking on the challenge of motivating users to drink water regularly, we designed a smart water bottle that can track water intake behavior and inform users about this behavior through ambient feedback. We then conducted two studies to explore the bottle's feedback design from the perspective of users and designers. First, we conducted semi-structured interviews with 10 prospective users and found that they would like to receive personalized, precise, gamified and reminding feedback. Second, we conducted a design workshop with 13 professional designers to explore the range of visualizations that can be used to give feedback. Analyzing these visualizations, we identified three reminder types (augmenting, restoring and balancing) and six visualization styles grouped according to three dimensions of ambient displays (representation fidelity, notification level, aesthetic emphasis). In this paper, we first explain our water bottle concept along with existing solutions. Then, we report the results of these studies. Finally, we discuss the potential implications of the results for our own work as well as for designing ambient displays aimed at supporting users' water intake tracking practices.

The extension of the product lifecycle is crucial in the application of Circular Economy principles. However, when Energy Related Products are concerned, managing a durable product does not necessarily mean dealing with sustainable products. This happens because components and/or materials are affected by aging and lead to increased requirement of resources to run (i.e. electricity); there are certain trends that, although distinct from the previous facts, balance the effects of aging, i.e. energy grid mix decarbonization. In the present work an approach that considers both the economic and environmental consequences of durable products is proposed. The Durabot tool has been developed to accomplish the environmental analysis. The work overcomes the main literature criticalities: enables the assessment of environmental consequences of durability ; the evolution of energy grid mix is introduced; the environmental consequences of durable products in different lifecycle scenarios can be assessed during the design phase; therefore, the components to substitute and to make accessible are identified. The tool is intended to be used aiming at design for product lifecycle extension, maintaining both economic and environmental convenience

The design process aims to maximize the value in the end solution. For traditional manufacturing firms pursuing a servitization strategy, non-functional requirements become more important compared to before. Therefore, this paper investigates issues in capturing and utilizing non-functional requirements for value creation in a servitizing firm. A single case study was conducted, which resulted in six issues across the design process. It was evident from the research that the firm requires new support to enable a better inclusion of non-functional requirements in the design process.

Product-service systems (PSSs) are regarded as one of the promising ways to contribute to a sustainable society. Despite the well-developed knowledge, PSS design lack of long-term perspective to treat related changes and uncertainties. To address this issue, this paper proposes a conceptual framework of sustainable PSS design for sustainability transition by integrating insight from design approach for system innovation and transition. Applicability of the proposed framework is illustrated through application to example of PSS development project for wildlife nuisance in a suburban city.

The democratisation of design permits greater stakeholder involvement in what has traditionally been a domain reserved for experts; the design process itself. This is enabled by technological advances in fields such as 3D printing, virtual reality and high-speed peer to peer communication technologies which have fuelled the development of new and innovative design methods. This paper compares and contrasts different approaches to the democratisation of design, and in particular, those that aim to involve wider stakeholders in the design process itself. Three different approaches(design by play, design by generation and crowdsourcing for design) are defined and contextualised within existing design frameworks and their respective suitabilities to democratise different design phases are considered. An exemplar use case of each approach is presented in order to assess how stakeholder engagement is affected by each democratising strategy. The discussion compares and contrasts the approaches with respect to their applicability and utility for different stages of the design process and how the power dynamics of the design process are altered when the different approaches are employed.

The sentence “form follows function” is the best expression of the relationship between form and function of a product in modern product design. This implies that the form is essential to implement the function while it should be optimized and minimized for the function. Unlike general products, transformable products are designed with the intention to change the function and form of the product according to the situation. This paper presents the types and characteristics of transformable products determined by Phase Model we introduced. We collected 147 transformable product cases and analyzed them according to the change of functions and forms in each product. As a result, we classified the transformable products into four types: partial transformable product, multi-form product, multi-function product and full transformable product. We found that each type has unique characteristics with potential to drive innovation in product design field.

In product development, user-scenarios are a way of tailoring requirements to defined customer groups. Furthermore, a product design often involves multiple conflicting objectives that are analyzed within an iterative process. The models typically used for the analysis often do not accurately reflect the real-world representation. This can be alleviated by finding robust product designs. While usually uncertainties due to manufacturing tolerances are investigated, we additionally consider uncertainties in the user-scenario. Therefore, we present a robustness evaluation in a multi-objective numerical optimization in product development. For this, we consider manufacturing tolerances using an adjusted Latin Hypercube Sampling as well as deviations in the user-scenario by means of a Gaussian distribution. In the case study, we present the robust development of a customer specific coffee machine, where we show the robustness evaluation and the impact of the proposed adjustments. The advantage of the presented process is a product design tailored to the customer's requirements under specified uncertainties. In addition, this enables a time benefit in the product development due to the automated analysis used in the optimization.